Showing 5 open source projects for "evolving neural network"

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  • 1
    GTK+ IOStream

    GTK+ IOStream

    GTK+iostream, Data plots, ORB, Neural Networks, WSOLA

    Create GTK+ interfaces using IOStream style code. Its simple and quick! Also providing simple data plotting (similar to Matlab/Octave), ORB (Object Request Broker), and Neural Network computations. You can create GTK+ GUIs in a few lines of code. Labels<<"Thanks for reading"; (HBox<<Labels).show(); or even one line : (HBox() << (Labels()<<"Thanks for reading")).show(); Inline code destructs the classes, but leaves the widgets/callbacks operating. This is great for embedded memory saving...
    Downloads: 0 This Week
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  • 2
    NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
    Downloads: 0 This Week
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  • 3
    A neural network package for Octave! Goal is to be as compatible as possible to the one of MATLAB(TM).
    Downloads: 9 This Week
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  • 4
    SpiNet is a neural simulation tool for large spiking networks with highly heterogeneous synapses. Neurons are modelled as I&F units with dual exponential synaptic conductances. Complex network models can be easily built using the included tool NetBuilder
    Downloads: 0 This Week
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  • 5
    This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.
    Downloads: 0 This Week
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